Vibration Analysis of Large Silos: Modeling and Experiments
Bibliographic record
Abstract
During the discharge of large cylindrical silos, significant vibrations, pulsations and quaking are often created. The vibrations are typically accompanied by acoustical emissions referred to as silo honking. Such noise pollution is a health and safety concern for workers at site (e.g., hearing loss due to prolonged exposure). From a structural integrity standpoint, the vibrations contribute to the fatigue failure of the load carrying members and connections and endanger the safety and integrity of the overall system. The associated forces and deflections are often further amplified due to resonance between the silo support structure and the discharge loading frequencies. In order to avoid exciting one of the silo support structure modes, researchers and engineers often employ simplified mass-spring models to predict the natural frequencies of the structure. However, these models do not always capture all of the important modes of the silo system. In this paper, a detailed finite element model is developed to predict all of the dominant modes (vertical and side-way swaying) of the system. Beam, shell, and solid elements are used to model the silo support structure, silo walls, and the potash mass, respectively. For the experimental study, several strain gauges and accelerometers were installed on a full-scale silo support structure to determine the frequency of loading during material discharge. This paper summarizes the results of the numerical and experimental study that has been performed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".